There are many tasks such as performance

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So the company hoped to use it to quickly solve this problem some time ago. Before, I was not very clear about the purpose of the evaluation. In addition to determining the price and function of the large model, what else needs to be evaluated.A standard process evaluation can help you better understand the model, such as verifying the effectiveness of the algorithm model to provide a basis for technology selection; discovering potential problems in the model to determine whether it can be optimized or other models can be selected; and identifying the performance of the model on a specific data set to ensure its accuracy and reliability.



In addition, model evaluation is not a one-person iran phone number format job. students. The following is a summary of common evaluation content and methods encountered in my work. The content is for reference only and I hope it can help you. 1. Preliminary preparation Before officially starting the evaluation, let's take a look at the possible misunderstandings and some materials that need to be prepared. . Misunderstandings of model evaluation Over-reliance on a single indicator Only focusing on accuracy or other single indicators ignores other important performance indicators.



Different application scenarios may require different performance indicators, such as precision recall scores, etc. Comprehensive consideration of multiple indicators can more comprehensively evaluate model performance. Ignoring the interpretability of the model, only focusing on the model's prediction results and not the model's decision-making process. Model interpretability is very important for building user trust and meeting regulatory requirements. It is also necessary to use a standard prompt word framework to limit the model so that the model's answers can be more in line with the requirements. There is no standard scoring guide. The results given by different evaluators may vary greatly.